Dataset: Seasonality and immunity to laboratory-confirmed seasonal coronaviruses (HCoV-NL63, HCoV-OC43, and HCoV-229E): results from the Flu Watch cohort study
Aldridge, RW; Lewer, D; Beale, S; Johnson, AM; Zambon, M; Hayward, AC and Fragaszy, E
(2020).
Dataset: Seasonality and immunity to laboratory-confirmed seasonal coronaviruses (HCoV-NL63, HCoV-OC43, and HCoV-229E): results from the Flu Watch cohort study.
[Dataset].
UCL Institute of Health Informatics, London, United Kingdom.
https://doi.org/10.14324/000.ds.10093909
(2020).
Dataset: Seasonality and immunity to laboratory-confirmed seasonal coronaviruses (HCoV-NL63, HCoV-OC43, and HCoV-229E): results from the Flu Watch cohort study.
[Dataset].
UCL Institute of Health Informatics, London, United Kingdom.
https://doi.org/10.14324/000.ds.10093909
There is currently a pandemic caused by the novel coronavirus SARS-CoV-2. The intensity and duration of this first wave in the UK may be dependent on whether SARS-CoV-2 transmits more effectively in the winter than the summer and the UK Government response is partially built upon the assumption that those infected will develop immunity to reinfection in the short term. This dataset was published to accompany a paper that examined evidence for seasonality and immunity to laboratory-confirmed seasonal coronavirus (HCoV) from a prospective cohort study in England.
Additional Information
This dataset is published under the Creative Commons Attribution 4.0 International (CC BY 4.0) Licence.
Keywords
Coronavirus; COVID-19; Epidemiology; Pandemic; Public health; HCoV-NL63; HCoV-OC43; HCoV-229E; SARS-CoV-2| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Dataset Quantitative |
| Capture method | Experiment |
| Date | 30 March 2020 |
| Language(s) of written materials | English |
| Creator(s) |
Aldridge, RW; Lewer, D; Beale, S; Johnson, AM; Zambon, M; Hayward, AC and Fragaszy, E
|
| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023) |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom; University College London, London, United Kingdom |
| Date Deposited | 25 Apr 2020 16:40 |
| Last Modified | 16 Dec 2025 10:15 |
| Publisher | UCL Institute of Health Informatics |
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